Filter

  • Argumentation-based Interactive Explainable Scheduling

    Project ID: STAI-CDT-2020-IC-40
    Themes: Argumentation
    Supervisor: Ruth Misener

    AI is continuing to make progress in many settings, fuelled by data availability and computational power, but it is widely acknowledged that it cannot fully benefit society without addressing its widespread inability to...

    Read more

  • Explanations for predictions by artificial neural networks by mining argumentative abstractions

    Project ID: STAI-CDT-2020-IC-44
    Themes: Argumentation
    Supervisor: Francesca Toni

    It is well-known that there are serious issues with opaque methods in AI, including artificial neural networks (ANNs), when these are used to support human decision-making. As a consequence considerable efforts are being...

    Read more

  • Interactive explanations by argumentation

    Project ID: STAI-CDT-2020-IC-15
    Themes: Argumentation
    Supervisor: Francesca Toni

    Today’s AI landscape is permeated by plentiful data and dominated by powerful methods with the potential to impact a wide range of human sectors, including healthcare and the practice of law. Yet, this potential is...

    Read more

  • Explanation-empowered feedback via argumentation

    Project ID: STAI-CDT-2020-IC-16
    Themes: Argumentation
    Supervisor: Francesca Toni

    Today’s AI landscape is permeated by plentiful data and dominated by powerful methods with the potential to impact a wide range of human sectors, including healthcare and the practice of law. Yet, this potential is...

    Read more